Face Detection Using Skin Color Model

Face detection is a challenging task in image processing field. Now days face detection is used in many application which requires identification and verification. The major application areas of face detection are biometric field, crowd surveillance, photography and many security related areas. Issue with face detection is that it should perform well in any condition such as illumination, color variance, brightness, pose variations. This paper proposed a technique for face detection based on skin color model. For skin tone segmentation we are using YCbCr color model in algorithm. The reason behind using YCbCr is to remove illumination component which is represented by Y. We proposed a technique to detect face from image based on area and mark that region. The results of the algorithm is shown in figures. The proposed algorithm is tested on various dataset and gives better experimental results than traditional approaches.